128 related articles for article (PubMed ID: 22596183)
1. The prognostic value of adaptive nuclear texture features from patient gray level entropy matrices in early stage ovarian cancer.
Nielsen B; Albregtsen F; Kildal W; Abeler VM; Kristensen GB; Danielsen HE
Anal Cell Pathol (Amst); 2012; 35(4):305-14. PubMed ID: 22596183
[TBL] [Abstract][Full Text] [Related]
2. Entropy-based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas.
Nielsen B; Hveem TS; Kildal W; Abeler VM; Kristensen GB; Albregtsen F; Danielsen HE
Cytometry A; 2015 Apr; 87(4):315-25. PubMed ID: 25483227
[TBL] [Abstract][Full Text] [Related]
3. Prognostic classification of early ovarian cancer based on very low dimensionality adaptive texture feature vectors from cell nuclei from monolayers and histological sections.
Nielsen B; Albregtsen F; Kildal W; Danielsen HE
Anal Cell Pathol; 2001; 23(2):75-88. PubMed ID: 11904463
[TBL] [Abstract][Full Text] [Related]
4. Prognostic value of adaptive textural features--the effect of standardizing nuclear first-order gray level statistics and mixing information from nuclei having different area.
Nielsen B; Danielsen HE
Cell Oncol; 2006; 28(3):85-95. PubMed ID: 16823177
[TBL] [Abstract][Full Text] [Related]
5. Low dimensional adaptive texture feature vectors from class distance and class difference matrices.
Nielsen B; Albregtsen F; Danielsen HE
IEEE Trans Med Imaging; 2004 Jan; 23(1):73-84. PubMed ID: 14719689
[TBL] [Abstract][Full Text] [Related]
6. Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers.
Nielsen B; Kleppe A; Hveem TS; Pradhan M; Syvertsen RA; Nesheim JA; Kristensen GB; Trovik J; Kerr DJ; Albregtsen F; Danielsen HE
J Natl Cancer Inst; 2018 Dec; 110(12):1400-1408. PubMed ID: 29684152
[TBL] [Abstract][Full Text] [Related]
7. Statistical nuclear texture analysis in cancer research: a review of methods and applications.
Nielsen B; Albregtsen F; Danielsen HE
Crit Rev Oncog; 2008; 14(2-3):89-164. PubMed ID: 19409060
[TBL] [Abstract][Full Text] [Related]
8. Textural features in pre-treatment [F18]-FDG-PET/CT are correlated with risk of local recurrence and disease-specific survival in early stage NSCLC patients receiving primary stereotactic radiation therapy.
Pyka T; Bundschuh RA; Andratschke N; Mayer B; Specht HM; Papp L; Zsótér N; Essler M
Radiat Oncol; 2015 Apr; 10():100. PubMed ID: 25900186
[TBL] [Abstract][Full Text] [Related]
9. Ductal carcinoma in situ of the breast (DCIS) with heterogeneity of nuclear grade: prognostic effects of quantitative nuclear assessment.
Chapman JA; Miller NA; Lickley HL; Qian J; Christens-Barry WA; Fu Y; Yuan Y; Axelrod DE
BMC Cancer; 2007 Sep; 7():174. PubMed ID: 17845726
[TBL] [Abstract][Full Text] [Related]
10. Markov optical texture parameters as prognostic indicators in ovarian carcinoma.
Geisler JP; Geisler HE; Miller GA; Wiemann MC; Zhou Z; Crabtree W
Int J Gynecol Cancer; 1999 Jul; 9(4):317-321. PubMed ID: 11240786
[TBL] [Abstract][Full Text] [Related]
11. Contrast-Enhanced CT Texture Analysis: a New Set of Predictive Factors for Small Cell Lung Cancer.
Chen C; Ou X; Li H; Zhao Y; Zhao F; Zhou S; Ma X
Mol Imaging Biol; 2020 Jun; 22(3):745-751. PubMed ID: 31429049
[TBL] [Abstract][Full Text] [Related]
12. Value of morphometric nuclear image analysis using the Feulgen reaction in renal cell carcinoma.
Lee JS; Jung JJ; Lee MC; Park CS; Juhng SW; Oh BR; Moon JD
Anal Quant Cytol Histol; 2000 Feb; 22(1):31-6. PubMed ID: 10696458
[TBL] [Abstract][Full Text] [Related]
13. The prognostic value of nuclear morphometric analysis in serous ovarian carcinoma.
Palmer JE; Sant Cassia LJ; Irwin CJ; Morris AG; Rollason TP
Int J Gynecol Cancer; 2008; 18(4):692-701. PubMed ID: 17944918
[TBL] [Abstract][Full Text] [Related]
14. Prognostic significance of elevated pretreatment serum levels of CEA and CA-125 in epithelial ovarian cancer.
Lin YH; Wu CH; Fu HC; Chen YJ; Chen YY; Ou YC; Lin H
Cancer Biomark; 2020; 28(3):285-292. PubMed ID: 32390605
[TBL] [Abstract][Full Text] [Related]
15. Comparison of Monofractal, Multifractal and gray level Co-occurrence matrix algorithms in analysis of Breast tumor microscopic images for prognosis of distant metastasis risk.
Rajković N; Kolarević D; Kanjer K; Milošević NT; Nikolić-Vukosavljević D; Radulovic M
Biomed Microdevices; 2016 Oct; 18(5):83. PubMed ID: 27549346
[TBL] [Abstract][Full Text] [Related]
16. Prognostic value of radiomic analysis of iodine overlay maps from dual-energy computed tomography in patients with resectable lung cancer.
Choe J; Lee SM; Do KH; Lee JB; Lee SM; Lee JG; Seo JB
Eur Radiol; 2019 Feb; 29(2):915-923. PubMed ID: 30054795
[TBL] [Abstract][Full Text] [Related]
17. Ovarian dysplasia: nuclear texture analysis.
Deligdisch L; Miranda C; Barba J; Gil J
Cancer; 1993 Dec; 72(11):3253-7. PubMed ID: 8242550
[TBL] [Abstract][Full Text] [Related]
18. Can pretreatment
Song H; Jiao Y; Wei W; Ren X; Shen C; Qiu Z; Yang Q; Wang Q; Luo QY
Eur Radiol; 2019 Jul; 29(7):3945-3954. PubMed ID: 30859285
[TBL] [Abstract][Full Text] [Related]
19. Nuclear maspin expression as a good prognostic factor in human epithelial ovarian carcinoma.
Sopel M; Surowiak P; Berdowska I
Folia Morphol (Warsz); 2010 Nov; 69(4):204-12. PubMed ID: 21120806
[TBL] [Abstract][Full Text] [Related]
20. Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival.
Ng F; Ganeshan B; Kozarski R; Miles KA; Goh V
Radiology; 2013 Jan; 266(1):177-84. PubMed ID: 23151829
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
